Where It Fits
A governance layer for what you already do.
This framework is not a replacement for fundamental analysis. It is a structural pre-screening layer — a way of knowing, before you look closely at anything, whether the universe you're examining is worth examining.
What it produces is not a recommendation. It is structural context — and serious investors have always made better decisions with more of it.
Section I
Where it fits in an existing process.
Most investment processes already have a research workflow. You identify candidates, you analyze them, you size positions, you monitor them. OSMR doesn't replace any of those steps — it sits upstream of all of them.
Think of it as the structural map you consult before you decide where to look. The universe of ~5,200 scored equities tells you, at a glance, where the structural conditions are favorable and where they're not. That's worth knowing before you spend time on company-specific research.
An investor who enters a Very High structural risk position isn't necessarily wrong. They may have specific insight into why the narrative will hold. But they should enter with open eyes — knowing that the empirical base rate for severe losses in that zone is approximately 2× the universe average.
Where OSMR enters the process
The three uses
Screen. Validate. Monitor.
The structural market map gives you a cross-sectional view of where structural risk is concentrated and where it's absent across the full U.S. equity universe. Filter by composite bucket or OAL rung to identify the zones worth your research time.
Before entering a position, check the company's structural profile against its cohort history. What has happened to companies in the same structural zone over a 12-month forward horizon? That record is part of the information a serious investor considers.
Structural risk is not static. A company's anchor trajectory can deteriorate between entries and exits. Weekly score updates make that trajectory visible before it becomes consensus. Monthly recalibrations rebuild the full structural picture.
What this is not
Section II
Reading the structural signal.
Each composite bucket describes a structural condition — not a predicted outcome. Here is what each state tells you structurally, and what it explicitly does not tell you.
Valuation is extended far beyond demonstrated output. The anchor is shallow or deteriorating. The empirical base rate for severe loss (>−25% over 12 months) is approximately 2× the universe average across all market regimes.
That a loss is imminent, or that the company is a bad business. 68.5% of Very High entries do not produce severe losses in 12 months. The narrative sustaining the valuation may hold for an extended period.
Above-average structural risk. The anchor is shallower than the universe median, or the trajectory is showing early deterioration. Worth monitoring closely if held.
That the company is overvalued by conventional measures, or that it cannot perform. Many High-rated companies produce positive returns.
Population center. No strong structural signal in either direction. The company is neither unusually well-anchored nor unusually narrative-dependent.
That the company is safe. Moderate companies can deteriorate rapidly if anchor metrics weaken in the next earnings cycle.
Below-average structural risk. The anchor is deeper than the universe median, and the trajectory is stable or improving. Favorable structural conditions for further research.
That the company will outperform. Low structural risk is not a return guarantee — many factors outside the framework's scope determine returns.
Deep anchor, improving trajectory. Median 12-month return in this bucket is +10.4%. Hit rate 62.4%. CVaR −52.7% vs −85.1% for Very High. Favorable conditions on every structural dimension the framework measures.
That every Very Low company is a buy. 37.6% of Very Low entries still produced negative 12-month returns. The framework identifies structural conditions — the rest is yours to determine.
OAL assignment matters independently of the composite score. A Revenue-anchored company in Very Low composite is still more narrative-dependent than an FCF-anchored company at the same score. The OAL rung tells you what the company has demonstrated. The composite score tells you how that demonstration compares to its current valuation and trajectory.
Section III
A suggested review cadence.
This is not a mechanical decision rule. It is the kind of review structure that makes the framework useful in practice — the questions worth asking at each stage of the process.
The framework updates weekly for price-sensitive components and monthly for the full structural pipeline. A review cadence that matches that update frequency gets the most out of the signal.
No exit thresholds or position triggers are embedded in the framework. Those decisions depend on mandate, time horizon, and context the framework cannot observe.
On trajectory
Trajectory is often more important than position.
A company in High structural risk with an improving trajectory — moving toward FCF generation from an EBIT anchor — is accumulating structural strength. The composite score will reflect that improvement over time, before the market necessarily does.
A company in Low structural risk with a deteriorating trajectory is a different situation than its composite score alone suggests. The score reflects where it is. The trajectory reflects where it's going.
This is why the two-axis design matters. Axis 1 and Axis 2 are not redundant — they are measuring two different dimensions of the same structural condition, and they can point in different directions.
Four structural conditions worth distinguishing
On the false positive rate
68.5% of Very High classifications do not produce severe losses in the subsequent 12 months. This is not a flaw in the framework — it is the correct way to understand it.
The framework identifies a structural condition associated with elevated loss probability. It does not predict which companies in that condition will experience a loss, or when. The base rate is the information. What an investor does with it is theirs to determine.
The structural map is live now.
~5,200 U.S. equities · Two independently validated dimensions of structural risk · Updated weekly